How to marry a star: probabilistic constraints for meaning in context
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Abstract (arXiv)
In this paper, we derive a notion of 'word meaning in context' that characterizes meaning as both intensional and conceptual. We introduce a framework for specifying local as well as global constraints on word meaning in context, together with their interactions, thus modelling the wide range of lexical shifts and ambiguities observed in utterance interpretation. We represent sentence meaning as a 'situation description system', a probabilistic model which takes utterance understanding to be the mental process of describing to oneself one or more situations that would account for an observed utterance. We show how the system can be implemented in practice, and apply it to examples containing various contextualisation phenomena.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 Sep 2020.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 1; 2024: 0; 2025: 1.
5 papers.
- 2022Scaling Autoregressive Models for Content-Rich Text-to-Image Generationcited by 1,287
- 2022Schr"odinger's Bat: Diffusion Models Sometimes Generate Polysemous Words in Superpositioncited by 8
- 2021We went to look for meaning and all we got were these lousy representations: aspects of meaning representation for computational semanticscited by 0
- 2023Contextualized word senses: from attention to compositionalitycited by 0
- 2025Conversational Implicatures: Modelling Relevance Theory Probabilisticallycited by 0
- 2025Conversational Implicatures: Modelling Relevance Theory Probabilistically26 Sep 2025
- 2023Contextualized word senses: from attention to compositionality1 Dec 2023
- 2022Schr"odinger's Bat: Diffusion Models Sometimes Generate Polysemous Words in Superposition23 Nov 2022
- 2022Scaling Autoregressive Models for Content-Rich Text-to-Image Generation22 Jun 2022
- 2021We went to look for meaning and all we got were these lousy representations: aspects of meaning representation for computational semantics10 Sep 2021